Digital Twins (DTs) have driven significant innovation across industries, creating virtual replicas of physical assets that enable continuous learning, optimization, and informed decision-making. Digital Twins Systems of Systems (SoS) pose open challenges that relate to representation, orchestration, and management at scale and call for innovative approaches for collaborative modelling of their ecosystem. Federated Digital Twins (FDTs) have emerged as a solution, enabling integration and resource sharing between independent DTs, fostering collaboration, and unlocking the full potential of interconnected systems. This work proposes a framework inspired by connectionism theory to model FDTs as a system of systems, drawing on federated systems and cognitive neuroscience to facilitate collaboration and emergent communication patterns. A Smart Connected Farming case study is used as a proof of concept for the proposed framework.

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A Connectionist Approach to Federated Digital Twins

  • Christian Vergara-Marcillo,
  • Rami Bahsoon,
  • Nikos Tziritas,
  • Georgios Theodoropoulos

摘要

Digital Twins (DTs) have driven significant innovation across industries, creating virtual replicas of physical assets that enable continuous learning, optimization, and informed decision-making. Digital Twins Systems of Systems (SoS) pose open challenges that relate to representation, orchestration, and management at scale and call for innovative approaches for collaborative modelling of their ecosystem. Federated Digital Twins (FDTs) have emerged as a solution, enabling integration and resource sharing between independent DTs, fostering collaboration, and unlocking the full potential of interconnected systems. This work proposes a framework inspired by connectionism theory to model FDTs as a system of systems, drawing on federated systems and cognitive neuroscience to facilitate collaboration and emergent communication patterns. A Smart Connected Farming case study is used as a proof of concept for the proposed framework.